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slavik-ua/mountain_ner
mountain_ner is a machine learning model from slavik-ua. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-sa-4.0.
This repository contains a NER model for recognizing mountain names in text.
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From the Hugging Face model README
This repository contains a NER model for recognizing mountain names in text.
The model was trained on a custom learning dataset https://huggingface.co/datasets/slavik-ua/mountain_ner_dataset.
transformers library.from transformers import pipeline
MODEL_DIR = "your_username/mountain-ner-model"
nlp = pipeline(
"ner",
model=MODEL_DIR,
tokenizer=MODEL_DIR,
aggregation_strategy="simple"
)
sentence = "Mount Everest towers majestically over the Himalayas, attracting climbers from all over the world."
print(nlp(sentence))
This model was trained using mountain names extracted from the Wikipedia page “List of mountains by elevation” (CC BY-SA 4.0). © Wikipedia contributors. Content is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.